AI That Works the Way Engineers Do

AI-Enabled Incident Management

Q: How does Xurrent IMR’s AI incident management reduce incident response time?

AI automates high-friction steps—identifying impacted services and components, prioritizing critical alerts over noise, and generating real-time insights for faster RCA—so engineers focus on resolution. This significantly reduces Mean Time to Resolution (MTTR).

Q: What's the difference between traditional and AI-enabled incident management?

Traditional incident management depends on manual triage, RCA, and reporting, which can be slow and error-prone. AI-enabled incident management leverages AI/ML to automate these tasks, provide real-time insights into complex payloads, generate automated postmortems, and assist with on-call scheduling.

Q: Can AI predict and prevent incidents?

Yes. By analyzing historical data, trends, and performance signals, AI identifies vulnerabilities, bottlenecks, and patterns that indicate impending failures, enabling proactive remediation before issues escalate.

Q: How does Xurrent IMR’s AI incident summarization work?

Xurrent IMR uses NLP to analyze incident data and extract key details. With a single click, it generates concise summaries of affected services and systems, keeping stakeholders informed without overwhelming technical details.

Q: How does Xurrent IMR’s AI help with root cause analysis (RCA)?

IMR’s AI extracts relevant information from complex payloads directly inside Slack. You can ask questions such as “Which region was impacted?” or “What caused this alert?” and receive precise, actionable answers instantly.

Q: What kind of information does Xurrent IMR’s AI extract from payloads?

It scans alerts, including lengthy payloads (e.g., 400-line Sentry payloads), to extract factual data such as affected regions, clusters, and services—eliminating manual crawling and accelerating resolution.

Q: How does Xurrent IMR’s AI create post-mortem reports?

The AI collects and summarizes all relevant incident context—tasks and logs, notes and Slack conversations, and meeting summaries—into a clear, actionable report your team can reuse and learn from.

Q: How does Xurrent IMR ensure the security of sensitive data?

Xurrent IMR operates under strict compliance protocols and uses models and controls that prioritize user data protection. The platform is committed to meeting industry security standards and certifications.

From managing complex on-call schedules to drafting detailed postmortems, Xurrent IMR’s AI-powered incident management software supports your production teams at every stage of the incident lifecycle to resolve faster and prevent costly delays.

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AI Built for Reliability at Scale

One Unified AI Engine for Every Stage of Incident Management

Xurrent IMR’s AI powers every phase of the incident lifecycle. It summarizes events, finds root causes, generates postmortems, and builds on-call schedules automatically. From Slack or Teams, engineers can query payloads, get instant RCA, and document incidents without switching tools. The AI learns from every response, reducing human effort and improving accuracy over time.

AI Incident Summarizer

When incidents happen, teams need context fast. The AI Summarizer transforms raw updates into clear, structured summaries in seconds, giving everyone an instant view of service health, customer impact, and recovery progress.

AI Querier for Faster RCA

Skip the endless dashboards and log searches. Xurrent IMR’s AI lets you query incidents directly in Slack or Teams to identify the impacted clusters, components, or services immediately. Engineers get answers in seconds, not minutes.

AI Postmortem Generator

Nobody likes writing reports after an outage. Xurrent IMR’s AI automates postmortem generation using data from logs, metrics, and chat history. Customize the output to your template and share instantly, turning learnings into documentation without effort.

AI Scheduling Assistant

Create on-call schedules in seconds using natural language. Just tell Xurrent IMR’s AI what you need — “Create a weekly rotation for the backend team starting Monday” — and it builds it for you automatically. No spreadsheets, no manual setup, just faster, smarter scheduling.

Designed for Simplicity, Engineered for Reliability

How AI Extends Across the Xurrent IMR Ecosystem

AI in Xurrent Incident Management and Response connects everything from alerting, response, postmortems, and communication. It powers automation, filters noise, and keeps all tools in sync. Teams can respond, document, and communicate directly in Slack, Teams, or Jira while AI handles the heavy lifting behind the scenes.

Automated Workflows

AI connects the entire incident lifecycle. Build automated workflows that assign incidents, notify responders, update tickets, and trigger postmortems automatically. Keep your teams focused on solving, not coordinating.

End-to-End Response from Slack, Teams, and Jira

Respond where you already work. Create, acknowledge, and resolve incidents from Slack, Microsoft Teams, or Jira. Xurrent IMR keeps every action in sync across your response tools so communication and execution stay aligned.

AI-Powered Alert Correlation

Cut through alert noise. AI analyzes patterns in incoming alerts to identify related events, grouping them into a single incident. This helps teams focus on impact, not volume.

Service Catalog Intelligence

Understand the full picture before taking action. The Service Catalog maps dependencies between services and systems, giving responders a complete view of what’s affected and how incidents cascade across environments.

Status Pages for Stakeholder Communication

AI keeps everyone informed automatically. Status Pages update in real time as incidents progress, reducing questions and keeping both internal teams and customers aligned.

150+ Built-In Integrations

Xurrent IMR works with your entire stack. Connect over 150 monitoring, observability, ITSM, and communication tools to unify your alerts, automations, and response workflows. AI works across them all seamlessly.

WORKS WHERE YOU WORK

Seamlessly Integrate With Your Existing Stack

Monitoring & Observability

Communication

Ticketing & ITSM

CI/CD & DevOps

Cloud Platforms

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Xurrent IMR sits at the center of your incident response workflow, connecting monitoring, communication, and ticketing tools you already use. Real-time bi-directional sync ensures everyone has the latest information, whether they're in Slack, Jira, or the Xurrent IMR dashboard. Set up in minutes with pre-built integrations and webhooks.

FAQ

Frequently Asked Questions (FAQs)

What is AI-enabled incident management?

AI-enabled incident management uses artificial intelligence to streamline the detection, response, and resolution of IT incidents. By automating manual processes like root cause analysis, alert prioritization, and postmortem reporting, AI helps teams resolve issues faster, reduce downtime, and improve overall reliability.

How does Xurrent IMR’s AI incident management reduce incident response time?

AI reduces response time by automating high-friction steps so engineers focus on resolution, not busywork:

Identifying impacted services and components.
Prioritizing critical alerts over noise.
Generating real-time insights for faster RCA.

This cuts Mean Time to Resolution (MTTR) significantly.

What's the difference between traditional and AI-enabled incident management?

Traditional IM relies on manual triage, RCA, and reporting—often slow and error-prone. AI-enabled IM automates these via AI/ML, providing real-time insights into complex payloads, automated postmortems, and on-call scheduling assistance.

Can AI predict and prevent incidents?

Yes. By analyzing historical trends and performance signals, AI flags vulnerabilities, bottlenecks, and patterns that indicate impending failures—so teams can act proactively before issues escalate.

How does Xurrent IMR’s AI incident summarization work?

Using NLP, Xurrent IMR analyzes incident data and extracts key details. With a click, it generates concise summaries of affected services and systems—ideal for keeping stakeholders informed without overwhelming technical detail.

How does Xurrent IMR’s AI help with root cause analysis (RCA)?

IMR’s AI extracts relevant facts from complex payloads directly in Slack. Ask questions like “Which region was impacted?” or “What caused this alert?” and get precise, actionable insights instantly.

What kind of information does Xurrent IMR’s AI extract from payloads?

It functions like a payload scraper: scanning alerts (e.g., 400-line Sentry payloads) to pull factual data such as affected regions, clusters, and services—eliminating manual crawling so teams can fix issues faster.

How does Xurrent IMR’s AI create post-mortem reports?

AI collects and condenses all relevant incident context into an actionable report, including:

Tasks and logs
Notes and Slack conversations
Meeting summaries

The result is a clear, reusable record that drives learning after every incident.

How does Xurrent IMR ensure the security of sensitive data?

Xurrent IMR’s AI operates under strict compliance protocols and uses models and controls that prioritize user data protection. Xurrent is committed to meeting industry standards and certifications.

LOVED BY 1000+ TEAMS

Trusted by Leading Engineering Teams

What sets Zenduty (now Xurrent IMR) apart from other big players in incident management is the level of interaction. If I write a query on Zenduty’s support channel, I know for a fact someone is going to come back and talk to me, and it’s very reassuring to know that my requests aren’t going into a black hole.

Heinrich Roets

Site Reliability Engineer, Electrum

Zenduty (now Xurrent IMR) offers a highly customizable alerting system. Notifications can be tailored based on severity, team, or incident type, ensuring the right people are alerted promptly. The integration with various communication channels such as SMS, email, Slack, and Microsoft Teams enhances our ability to respond quickly.

Abhishek Pal

Software Developer Engineer, Navi

Zenduty (now Xurrent IMR) is easy to use, set up, and integrate with tools. They provide excellent customer service and care, with support tickets answered immediately and feature requests quickly prioritized and added to the roadmap. As an alerting system, it sends alerts instantly, without delays or latency. The UI is clear and detailed, much clearer than those of competitors.

Tomer Cohen

Head of Cloud Infrastructure, Ever.C

“Zenduty (now Xurrent IMR)'s support team was extremely helpful and was there to answer all of our questions during our trial. They even went the extra mile by connecting us with a dedicated developer resource to help us build on top of their offerings. Truly one of the easiest tooling migrations we have ever gone through.”

Vinay Singh

DevOps Manager, IndiaMart

Mudassir Razvi

Senior Engineering Manager, DevOps at Razorpay